In this paper, we first propose a novel interaction model, CEA. It can explain the way how some existing systems reduce the work-load of their user. We next extend the CEA and build ECEA model. The ECEA enables robots to achieve more complicated tasks. On this extension, we employ ACS which can describe segmented human acts and clarifies the relationship between user's actions and robot's actions in a task. The ACS utilizes the CEA's strong point which (...) enables a user to send a command to a robot by his/her natural action for the task. The instance of the ECEA led by using the ACS is a temporal extension which has the user keep a final state of a previous his/her action. We apply the temporal extension of the ECEA for a sweeping task. The high-level task, a cooperative task between the user and the robot can be realized. The robot with simple reactive behavior can sweep the region of under an object when the user picks up the object. In addition, we measure user's cognitive loads on the ECEA and a traditional method, DCM in the sweeping task, and compare between them. The results show that the ECEA has a lower cognitive load than the DCM significantly. (shrink)

When humans are addressing multiple robots with informative speech acts, their cognitive resources are shared between all the participating robot agents. For each moment, the user’s behavior is not only determined by the actions of the robot that they are directly gazing at, but also shaped by the behaviors from all the other robots in the shared environment. We define cooperative behavior as the action performed by the robots that are not capturing the user’s direct attention. (...) In this paper, we are interested in how the human participants adjust and coordinate their own behavioral cues when the robot agents are performing different cooperative gaze behaviors. A novel gaze-contingent platform was designed and implemented. The robots’ behaviors were triggered by the participant’s attentional shifts in real time. Results showed that the human participants were highly sensitive when the robot agents were performing different cooperative gazing behaviors. Keywords: human-robot interaction; multi-robot interaction; multiparty interaction; eye gaze cue; embodied conversational agent. (shrink)

To realize a successful and collaborative interaction between human and robots remains a big challenge. Emotional reactions of the user provide crucial information for a successful interaction. These reactions carry key factors to prevent errors and fatal bidirectional misunderstanding. In cases where human–machine interaction does not proceed as expected, negative emotions, like frustration, can arise. Therefore, it is important to identify frustration in a human–machine interaction and to investigate its impact on other influencing (...) factors such as dominance, sense of control and task performance. This paper presents a study that investigates a close cooperative work situation between human and robot, and explore the influence frustration has on the interaction. The task for the participants was to hand over colored balls to two different robot systems (an anthropomorphic robot and a robotic arm). The robot systems had to throw the balls into appropriate baskets. The coordination between human and robot was controlled by various gestures and words by means of trial and error. Participants were divided into two groups, a frustration- (FRUST) and a no frustration- (NOFRUST) group. Frustration was induced by the behavior of the robotic systems which made errors during the ball handover. Subjective and objective methods were used. The sample size of participants wasN= 30 and the study was conducted in a between-subject design. Results show clear differences in perceived frustration in the two condition groups and different behavioral interactions were shown by the participants. Furthermore, frustration has a negative influence on interaction factors such as dominance and sense of control. The study provides important information concerning the influence of frustration on human–robot interaction (HRI) for the requirements of a successful, natural, and social HRI. The results (qualitative and quantitative) are discussed in favor of how a successful und effortless interaction between human and robot can be realized and what relevant factors, like appearance of the robot and influence of frustration on sense of control, have to be regarded. (shrink)

To effectively improve the efficiency of international service design talent training and make it more in line with society's needs, we analyze the current status of international service design talent training and its professional training focus. Based on the above problems, from the perspective of cognitive psychology, artificial intelligence and human–computer interaction technology are used to construct the international service design talent training mode of the HCI intelligent service robot. This mode can be used to solve (...) the existing teaching problems by using novel means to ensure the quality of teaching. Finally, through the actual analysis of teaching cases, the effectiveness of the proposed talent training mode is verified. The HCI system is based on knowledge of cognitive psychology. According to the characteristics and functions of an educational robot, the robot is combined with traditional teaching activities, and the robot-assisted talent training mode is designed. Robot-assisted talent training is a feasible training method that can improve the efficiency of talent training. Students have confidence in their learning skills before the course, and the confidence is further strengthened after the end of the course. After the course, the students have a stronger sense of cooperation. This study can provide theoretical ideas for the research of international service talent training mode. (shrink)

The focus of the following article is on the use of new robotic systems in the manufacturing industry with respect to the social dimension. Since “intuitive” human–machine interaction (HMI) in robotic systems becomes a significant objective of technical progress, new models of work organization are needed. This hypothesis will be investigated through the following two aims: The first aim is to identify relevant research questions related to the potential use of robotic systems in different systems of (...) class='Hi'>work organization at the manufacturing shop-floor level. The second aim is to discuss the conceptualization of (old) organizational problems of human–robot interaction (HRI). In this context, the article reflects on the limits of cognitive and perceptual workload for robot operators in complex working systems. This will be particularly relevant whenever more robots with different “roles” are to be increasingly used in the manufacturing industry. The integration of such complex socio-technical systems needs further empirical and conceptual research with regard to “social” aspects of the technical dimension. Future research should, therefore, also integrate economic and societal issues to understand the full dimensions of new human–robot interaction in industry today. (shrink)

The relationship between humans and animals is complex and influenced by multiple variables. Humans display a remarkably flexible and rich array of social competencies, demonstrating the ability to interpret, predict, and react appropriately to the behavior of others, as well as to engage others in a variety of complex social interactions. Developing computational systems that have similar social abilities is a critical step in designing robots, animated characters, and other computer agents that appear intelligent and capable in their interactions with (...) humans and each other. Further, it will improve their ability to cooperate with people as capable partners, learn from natural instruction, and provide intuitive and engaging interactions for human partners. Thus, human−animal team analogs can be one means through which to foster veridical mental models of robots that provide a more accurate representation of their near-future capabilities. Some digital twins of human−animal teams currently exist but are often incomplete. Therefore, this article focuses on issues within and surrounding the current models of human−animal teams, previous research surrounding this connection, and the challenges when using such an analogy for human−autonomy teams. (shrink)

Research on human–robot interaction has often ignored the human cognitive changes that might occur when humans and robots work together to solve problems. Facilitating human–robot collaboration will require understanding how the collaboration functions system-wide. We present detailed examples drawn from a study of children and an autonomous rover, and examine how children’s beliefs can guide the way they interact with and learn about the robot. Our data suggest that better collaboration might (...) require that robots be designed to maximize their relationship potential with specific users. (shrink)

While substantial effort has been invested in making robots more reliable, experience demonstrates that robots operating in unstructured environments are often challenged by frequent failures. Despite this, robots have not yet reached a level of design that allows effective management of faulty or unexpected behavior by untrained users. To understand why this may be the case, an in-depth literature review was done to explore when people perceive and resolve robot failures, how robots communicate failure, how failures influence people's perceptions (...) and feelings toward robots, and how these effects can be mitigated. Fifty-two studies were identified relating to communicating failures and their causes, the influence of failures on human-robot interaction (HRI), and mitigating failures. Since little research has been done on these topics within the HRI community, insights from the fields of human computer interaction (HCI), human factors engineering, cognitive engineering and experimental psychology are presented and discussed. Based on the literature, we developed a model of information processing for robotic failures (Robot Failure Human Information Processing, RF-HIP), that guides the discussion of our findings. The model describes the way people perceive, process, and act on failures in human robot interaction. The model includes three main parts: (1) communicating failures, (2) perception and comprehension of failures, and (3) solving failures. Each part contains several stages, all influenced by contextual considerations and mitigation strategies. Several gaps in the literature have become evident as a result of this evaluation. More focus has been given to technical failures than interaction failures. Few studies focused on human errors, on communicating failures, or the cognitive, psychological, and social determinants that impact the design of mitigation strategies. By providing the stages of human information processing, RF-HIP can be used as a tool to promote the development of user-centered failure-handling strategies for HRIs. (shrink)

This volume offers eleven philosophical investigations into our future relations with social robots--robots that are specially designed to engage and connect with human beings. The contributors present cutting edge research that examines whether, and on which terms, robots can become members of human societies. Can our relations to robots be said to be "social"? Can robots enter into normative relationships with human beings? How will human social relations change when we interact with robots at work (...) and at home? The authors of this volume explore these questions from the perspective of philosophy, cognitive science, psychology, and robotics. The first three chapters offer a taxonomy for the classification of simulated social interactions, investigate whether human social interactions with robots can be genuine, and discuss the significance of social relations for the formation of human individuality. Subsequent chapters clarify whether robots could be said to actually follow social norms, whether they could live up to the social meaning of care in caregiving professions, and how we will need to program robots so that they can negotiate the conventions of human social space and collaborate with humans. Can we perform joint actions with robots, where both sides need to honour commitments, and how will such new commitments and practices change our regional cultures? The authors connect research in social robotics and empirical studies in Human-Robot Interaction to recent debates in social ontology, social cognition, as well as ethics and philosophy of technology. -/- The book is a response to the challenge that social robotics presents for our traditional conceptions of social interaction, which presuppose such essential capacities as consciousness, intentionality, agency, and normative understanding. The authors develop insightful answers along new interdisciplinary pathways in "robophilosophy," a new research area that will help us to shape the "robot revolution," the distinctive technological change of the beginning 21st century. (shrink)

Robots are increasingly envisaged as our future cohabitants. However, while considerable progress has been made in recent years in terms of their technological realization, the ability of robots to inter-act with humans in an intuitive and social way is still quite limited. An important challenge for social robotics is to determine how to design robots that can perceive the user’s needs, feelings, and intentions, and adapt to users over a broad range of cognitive abilities. It is conceivable that if (...) robots were able to adequately demonstrate this, humans would eventually accept them as social companions. We argue that the best way to achieve this is using a systematic experimental approach based on behavioral and physiological neuroscience methods such as motion/eye tracking, electroencephalography (EEG), or functional near-infrared spectroscopy (fNIRS) embedded in interactive human-robot paradigms. This approach requires understanding how humans interact with each other, how they perform tasks together and how they develop feelings of social connection over time, and using these insights to formulate design principles that make social robots attuned to the workings of the human brain. In this review, we put forward the argument that the likelihood of artificial agents being perceived as social companions can be increased by designing them in a way that they are perceived as intentional agents that activate areas in the human brain involved in social-cognitive processing. We first review literature related to social-cognitive mechanisms involved in human-human interactions, and high-light the importance of perceiving others as intentional agents to activate these brain areas. We then discuss how attribution of intentionality can positively affect human-robot interaction by (a) fostering feelings of social connection, empathy and prosociality, and by (b) enhancing performance on joint human-robot tasks. Lastly, we describe circumstances under which attribution of intentionality to robot agents might be disadvantageous, and discuss challenges associated with designing social robots that are inspired by neuroscientific principles. (shrink)

Profit-oriented service sectors such as tourism, hospitality, and entertainment are increasingly looking at how professional service robots can be integrated into the workplace to perform socio-cognitive tasks that were previously reserved for humans. This is a work in which social and labor sciences recognize the principle role of emotions. However, the models and narratives of emotions that drive research, design, and deployment of service robots in human–robot interaction differ considerably from how emotions are framed in (...) the sociology of labor and feminist studies of service work. In this paper, we explore these tensions through the concepts of affective and emotional labor, and outline key insights these concepts offer for the design and evaluation of professional service robots. Taken together, an emphasis on interactionist approaches to emotions and on the demands of affective labor, leads us to argue that service employees are under-represented in existing studies in human–robot interaction. To address this, we outline how participatory design and value-sensitive design approaches can be applied as complimentary methodological frameworks that include service employees as vital stakeholders. (shrink)

With service robots becoming more ubiquitous in social life, interaction design needs to adapt to novice users and the associated uncertainty in the first encounter with this technology in new emerging environments. Trust in robots is an essential psychological prerequisite to achieve safe and convenient cooperation between users and robots. This research focuses on psychological processes in which user dispositions and states affect trust in robots, which in turn is expected to impact the behavior and reactions in the (...) class='Hi'>interaction with robotic systems. In a laboratory experiment, the influence of propensity to trust in automation and negative attitudes toward robots on state anxiety, trust, and comfort distance toward a robot were explored. Participants were approached by a humanoid domestic robot two times and indicated their comfort distance and trust. The results favor the differentiation and interdependence of dispositional, initial, and dynamic learned trust layers. A mediation from the propensity to trust to initial learned trust by state anxiety provides an insight into the psychological processes through which personality traits might affect interindividual outcomes in human-robot interaction (HRI). The findings underline the meaningfulness of user characteristics as predictors for the initial approach to robots and the importance of considering users’ individual learning history regarding technology and robots in particular. (shrink)

A change of gaze behavior at a small mistake moment is a natural response that reveals our own mistakes and suggests an apology to others with whom we are working or interacting. In this paper we investigate how robot gaze behaviors at small mistake moments change the impressions of others. To prepare gaze behaviors for a robot, first, we identified by questionnaires how human gaze behaviors change in such situations and extracted three kinds: looking at the other, (...) looking down, and looking away. We prepared each gaze behavior, added a no-gaze behavior, and investigated how a robot’s gaze behavior at a small mistake moment changes the impressions of the interacting people in a simple cooperative task. Experiment results show that the ‘looking at the other’ gaze behavior outperforms the other gaze behaviors and indicates the degrees of perceived apologeticness and friendliness. Keywords: Communication robots; gaze; mistake; mitigation. (shrink)

Cognitive modeling of human behavior has advanced the understanding of underlying processes in several domains of psychology and cognitive science. In this article, we outline how we expect cognitive modeling to improve comprehension of individual cognitive processes in human-agent interaction and, particularly, human-robot interaction (HRI). We argue that cognitive models offer advantages compared to data-analytical models, specifically for research questions with expressed interest in theories of cognitive functions. However, (...) the implementation of cognitive models is arguably more complex than common statistical procedures. Additionally, cognitive modeling paradigms typically have an explicit commitment to an underlying computational theory. We propose a conceptual framework for designing cognitive models that aims to identify whether the use of cognitive modeling is applicable to a given research question. The framework consists of five external and internal aspects related to the modeling process: research question, level of analysis, modeling paradigms, computational properties, and iterative model development. In addition to deriving our framework from a concise literature analysis, we discuss challenges and potentials of cognitive modeling. We expect cognitive models to leverage personalized human behavior prediction, agent behavior generation, and interaction pretraining as well as adaptation, which we outline with application examples from personalized HRI. (shrink)

The study of social, ethical, and political issues from a naturalistic perspective has been pervasive in social sciences and the humanities in the last decades. This articulation of empirical research with philosophical and normative reflection is increasingly getting attention in academic circles and the public spheres, given the prevalence of urgent needs and challenges that society is facing on a global scale. The contemporary world is full of challenges or what some philosophers have called ‘existential risks’ to humanity. Nuclear wars, (...) natural and/or engineered pandemics, climate change, global totalitarianism, and emergent technologies, are some of the challenges mentioned by many authors devoted to the study of long-term potential risks for the survival of the human species. However, while there are many reasons to be a pessimist about the future of humanity, there is also a lot of ink wasted in showing that the world today is far better than we had in the past and also that there have been many instances of social and moral progress in the last centuries. Some authors have even claimed that “we have made more progress over the last 100 years than in the first 100,000”. According to ‘our world in data’, some of the most relevant advances of humanity in the last centuries have to do with the reduction of poverty and/or inequality, better health and security, the decline of violence and war, and the development of democracy and institutional mechanisms to guarantee individual freedom and rights. Yet, there is a more concrete concern that our world faces nowadays, and requires a particularly detailed analysis. In a few words, the advance in information and communication technologies, the huge volume of people migration because of prevalent instances of global inequality, and the reality of an interconnected world that just mirrors an extensive history of massive human intergroup relations open the question about the feasibility of social and moral progress in the contexts of diverse, multicultural, and unequal societies. This makes it crucial to reflect not only on whether human societies may keep advancing on a path of social progress, but how this can be achieved by addressing the challenges of inequality and potential intergroup conflict. This concern closely relates to the further consolidation of democratic values and the achievement of a more generalized consideration of the equal moral value of human individuals far from group, ethnic, or collective distinctions. This vision of progress follows the moral convictions that have been considered right and worthy to be pursued by most ethical theories explored by philosophers and social scientists so far. This work aims to contribute to the study of the mechanisms and feasibility of social and moral progress grounded on the precept of human equality and is guided by the idea that social and moral progress in a plural world requires the accomplishment of a more democratic and tolerant society. These forms of progress have already been defined by philosophers Allen Buchanan and Russel Powell as inclusivist forms of moral progress. According to these authors, inclusivist moral progress is featured by the transformation of moral judgments, motivations, and norms guided by the rejection of “group-based restrictions on moral standing and moral status” (2018). The work of Buchanan and Powell is fundamental for the argumentation developed in this work since they have pioneered a more complex debate in the field of evolutionary social sciences and philosophical anthropology. In brief, these authors have inquired how human nature, conceptualized by the advances in evolutionary thinking and the empirical sciences, is related to our moral convictions and the possibilities that we have to establish certain forms of social and moral progress. The work of Buchanan and Powell contributes to the debate on moral progress by incorporating empirically-informed concepts and arguments. With this objective in mind, they develop their discussion around a generalized tension between exclusivist and inclusivist forms of moral progress. This tension revolves around the question of whether and to what extent human moral concerns, motivations, and norms, are limited or bounded by social identities, group thinking, or collective values. This question is at the center of this work. In other words, I aim to answer whether and to what extent the nature of our social and moral cognition hinders or enables the development of inclusivist forms of morality and moral progress. As I mentioned so far, the distinction between exclusivist and inclusivist forms of morality has a practical implication and facilitates the reflection on the mechanisms and feasibility of concrete forms of progress based on the precept of human equality, which is the road to progress that we should follow according to most ethical theories. The distinction between exclusivist and inclusivist morality is not used here as a form of summarizing highly divergent descriptive approaches to morality, but as a way to address the practical implications of morality research, particularly around the question of the feasibility of social forms of progress based on the precept of equality and tolerance. My objective then has less to do with offering a conceptualization of human morality or with the proposition of a new ethical perspective. Instead, I aim to identify, from an empirically informed perspective, what enables the achievement of egalitarian forms of social progress, to subsequently offer a normative reflection about what we should do if we want to accomplish such inclusivist forms of progress. This task is of great relevance, having in mind that some theoretical proposals on the matter have claimed that human prosocial behavior and morality are constrained by exclusivist fixed tendencies as a product of our evolutionary history. According to these views, human morality is a group-centered cognitive and behavioral expression that has severe limits in its scope and extent, which hinders in the end the emergence of inclusivist forms of moral concerns and behaviors. These claims align with the philosophical intuition about the ‘dissociation of empathy’, or the fact that human individuals tend to express empathy and sympathy preferably for members of their group whereas their empathic and moral concern and recognition for outgroup individuals tend to be reduced or eliminated in real-life social interactions. Multiple theorists have expressed, however, that these assumptions are wrong for empirical and philosophical reasons, which results in a serious challenge to the conception of human morality as exclusivist by nature. Furthermore, simple intuition and practical experience constantly show us that human individuals can develop and endorse a broad spectrum of moral considerations and adopt an arguably inclusivist stance concerning the kind of persons or agents that deserve moral concern. Moreover, and adopting a historical perspective, the expansion of cultural and commercial exchanges, the consolidation of democracy, the development of welfare states, or the emergence of institutions based on the concept of universal human rights, have partially driven human progress based on the impartial concern for the well-being of persons. These historical instances of cultural evolution and institutional design have shown that it is feasible to promote behaviors and attitudes grounded in impersonal prosocial and inclusivist principles. This optimistic perspective, however, still begs the question of the exact relationship between social, cultural, and historical contexts, and the emergence of certain behavioral expressions of inclusivist morality. This is crucial since a great number of human individuals around the world still do not make part of these instances of social progress, and some authors have suggested that such instances of social and moral progress are particularly favored by the contexts of the WEIRD world, that is the world of Western, Educated, Industrialized, Rich, and Democratic societies. Some of these approaches consider moral inclusivity a ‘luxury good’ and follow the ‘dependency thesis’ according to which the expression of moral inclusivity depends on the presence of very concrete material conditions that trigger inclusivist and impersonal prosocial tendencies that human beings are not able to express in threatening contexts without physical security. This thesis is problematic for various reasons and has led to incomplete explanations about the enabling and causal factors of inclusivist moral progress, as well as unsatisfactory suggestions about what we should do to foster the accomplishment of more generalized instances of progress based on inclusivist concerns. In an attempt to contribute to this debate, the main objective of this thesis is to offer an alternative proposal about the nature of human morality and a more detailed reflection on what we should do if we want to further accomplish such instances of progress. More precisely, this work adopts a particular developmental and constructivist vision of human morality to answer the question of how feasible it is to reach generalized forms of social progress based on the precepts of moral inclusivity. Furthermore, it offers some ideas about what are the most adequate and favorable conditions to foster such progress both at the individual and the collective level. At this point, a preliminary clarification of some starting points is necessary. In the first place, and contrary to what other authors have proposed when debating moral progress from an empirically-based approach, my perspective adopts a radical developmental and constructivist perspective, following particularly the conceptual and empirical ideas of the social-domain theory in moral psychology. From this perspective, morality is a domain of normative and social knowledge that develops and emerges in human interactions. Moral concerns, judgments, and norms are not only the result of the expression of innate adaptive intuitions, nor the product of social conformity and a simple process of mirroring the normativity that communities have established to organize their social life. Human individuals, instead, construct moral concerns and judgments during their situated interactions. More specifically, the constructivist tradition claims that we need to research how moral concerns, judgments, and reasons emerge in social interactions and how human beings construct the content of their moral knowledge in the first place. Based on these ideas, morality is defined here as the result of a constructive process through which human individuals, by the means of constant interactions on a background of mutual respect and recognition, develop evaluative concerns about how we ought to treat others, and how to ‘care’ and ‘respect’ others’ well-being, needs, and vulnerabilities. This developmental-constructivist theory of human psychology contributes to an alternative understanding of the origins of moral variability and informs a very particular normative stance about the most desirable contexts needed for the urgent accomplishment of inclusivist forms of morality in contemporary societies. This is so given that the very same definition of morality adopted presupposes the feature of inclusivity. The main objective of this work is then to argue, based on a developmental perspective, what are the most favorable conditions to foster the development of moral inclusivity and what we should do to accomplish concrete instances of moral progress that truly help us to overcome our most urgent moral challenges. The whole thesis is organized as follows. In part I, I show how received visions about human social evolution have informed conceptions of morality as an adaptive function evolved to solve the challenges of cooperative life. Based on these assumptions, some theories argue that human morality is limited by the boundaries of group thinking, and always obeys the mandates of collective interests and the will of the majority. However, this conception has problematic implications from a normative and ethical perspective. The aim of Chapter 1 is to present this introductory debate in detail. In chapter 2, I consider a relevant amount of scientific evidence that helps to consolidate a more optimistic and inclusivist perspective about the starting conditions of human prosocial behavior. Later, I will summarize some ideas offered to explain the possible evolutionary mechanisms that led to the consolidation of these inclusivist capacities. However, I will also show how evolutionary theories that share the same adaptationist foundations but initially seem relevant to explain the feasibility of moral inclusivity, result incomplete when considering the complexity of moral behavior and its ethical implications. Part II is devoted to presenting a developmental alternative to the adaptationist versions around the starting conditions of morality. In this section, I first summarize the epistemological, conceptual, and empirical basis of a constructivist perspective already proposed by several authors in the last decades. This is the goal of chapter 3. More precisely, I adopt the conceptualization of morality established by the social-domain theory school and clarify its conception of the situated development of moral concerns, motivations, and norms. All these ideas are essential for my argumentation on the feasibility of inclusivist moral progress offered later. Chapter 4 provides a more detailed idea of constructivist thinking about moral development, by analyzing one particular dimension: the development of moral concerns for fairness and the sense of justice in distributive dilemmas. In Part III, I assume a constructivist perspective on morality to contribute to the philosophy of moral progress. In particular, I discuss the implications of such a perspective for the conceptualization of human moral nature and discuss what are the most favorable conditions for moral inclusivity to emerge. Answering that question is of enormous relevance since favoring the transition of human societies towards more inclusivist forms of moral concern and behavior supposes a more generalized accomplishment of our most urgent moral convictions. Previous developmental or culturally-sensible attempts to explore this issue are already on the market. As mentioned before, most authors have approached the topic by situating the cultural evolution and development of (inclusivist) moral progress in the WEIRD world. For instance, some of these authors claim that very concrete material conditions (mostly present in the Western World) have been necessary for triggering inclusivist and impersonal prosocial tendencies that human beings are not able to express in threatening contexts without physical security. Despite their interest in explaining inclusivist morality and the feasibility of inclusivist forms of progress following a naturalistic and culturally situated approach, these theories are problematic for two main reasons. In the first place, most of the authors that explain moral progress tend to focus exclusively on the consolidation of liberal values in the Western world and the underlying adoption of laws, social-epistemic practices, and public narratives about tolerance and inclusivity, as unequivocal signs of inclusivist morality. Nevertheless, there is an enormous distance between the institutional and public support of inclusivist moral values or the construction of public images of tolerance and inclusivity, and the real materialization of impersonal moralities in situated social interactions. Secondly, the variability of human moral behavior is far bigger than most of the theories in moral psychology and moral progress tend to assume. Accordingly, inclusivist and exclusivist forms of morality may develop simultaneously in similar or divergent geographical and socio-ecological environments, including those with harsh conditions such as competition for scarce resources, potential intergroup conflict, and risks of disease transmission. In addition, harsh environmental conditions are usually present in almost all societies around the globe, and the presence of socio-ecological conditions such as physical security and prosperity, predominant in highly resourced populations, do not prevent the existence of exclusivist moral tendencies. My model explores a different perspective on the relationships between cultural, institutional, and historical factors, and the situated development of human morality. This supposes a clear distinction from previous approaches to the matter since it offers a different view on what we should do to pursue further instances of inclusivist social progress. In the fifth chapter, I first analyze the proposals of some defenders of the ‘dependency’ theory. The attention is focused on the ‘Evolutionary Developmental Model’ proposed by Buchanan and Powell (2018). Based on a critique of this approach, I will argue that to explain the evolution and development of human morality in its multiple manifestations, it is essential to put focus on social interactions. This also involves a different perspective on human-environment relations that in line with a constructivist worldview makes an innovative contribution to the philosophy of moral behavior and moral progress. Later, in the sixth chapter, I will define my alternative relational view of inclusivist morality and I will offer my view on how to establish favorable conditions that make inclusivist morality possible. Complementing the constructivist approach, my conception is based on the essential role of equality and individuality and on how moral inclusivity is favored if moral concerns do not develop driven by the accomplishment of group-centered, binding, and communitarian concerns and values. In brief, my relational model suggests that the accomplishment of moral inclusivity not only depends on the overall achievement of certain levels of physical security or economic prosperity. Instead, its development is favored by transforming the interactional contexts in which moral concerns towards autonomy and individuality emerge. In arguing so, I will need to start with a critique of contemporary situated and embodied approaches in ethics. Then, I will show how societies guided by the accomplishment of group-centered values of power, dominance, and relational inequality tend to express exclusivist moral behaviors, while individualistic societies tend to be more inclusivist. Starting from this diagnosis, my final attempt is then to reflect on which are the best conditions for the moral valuation of individuality to emerge and what we should do to promote the accomplishment of moral inclusivity at the societal level. (shrink)

The present paper aims to validate our research on human–humanoid interaction (HHI) using the minimalist humanoid robot Telenoid. We conducted the human–robot interaction test with 142 young people who had no prior interaction experience with this robot. The main goal is the analysis of the two social dimensions (‘‘Perception’’ and ‘‘Believability’’) useful for increasing the natural behaviour between users and Telenoid.Weadministered our custom questionnaire to human subjects in association with a well (...) defined experimental setting (‘‘ordinary and goal-guided task’’). A thorough analysis of the questionnaires has been carried out and reliability and internal consistency in correlation between the multiple items has been calculated. Our experimental results show that the perceptual behaviour and believability, as implicit social competences, could improve the meaningfulness and the natural-like sense of human–humanoid interaction in everyday life task-driven activities. Telenoid is perceived as an autonomous cooperative agent for a shared environment by human beings. (shrink)

We are quickly passing through the historical moment when people work in front of a single computer, dominated by a small CRT and focused on tasks involving only local information. Networked computers are becoming ubiquitous and are playing increasingly significant roles in our lives and in the basic infrastructure of science, business, and social interaction. For human-computer interaction o advance in the new millennium we need to better understand the emerging dynamic of interaction in which (...) the focus task is no longer confined to the desktop but reaches into a complex networked world of information and computer-mediated interactions. We think the theory of distributed cognition has a special role to play in understanding interactions between people and technologies, for its focus has always been on whole environments: what we really do in them and how we coordinate our activity in them. Distributed cognition provides a radical reorientation of how to think about designing and supporting human-computer interaction. As a theory it is specifically tailored to understanding interactions among people and technologies. In this article we propose distributed cognition as a new foundation for human-computer interaction, sketch an integrated research framework, and use selections from our earlier work to suggest how this framework can provide new opportunities in the design of digital work materials. (shrink)

The information in the working environment of industrial Internet is characterized by diversity, semantics, hierarchy, and relevance. However, the existing representation methods of environmental information mostly emphasize the concepts and relationships in the environment and have an insufficient understanding of the items and relationships at the instance level. There are also some problems such as low visualization of knowledge representation, poor human-machine interaction ability, insufficient knowledge reasoning ability, and slow knowledge search speed, which cannot meet the needs of (...) intelligent and personalized service. Based on this, this paper designs a cognitive information representation model based on a knowledge graph, which combines the perceptual information of industrial robot ontology with semantic description information such as functional attributes obtained from the Internet to form a structured and logically reasoned cognitive knowledge graph including perception layer and cognition layer. Aiming at the problem that the data sources of the knowledge base for constructing the cognitive knowledge graph are wide and heterogeneous, and there are entity semantic differences and knowledge system differences among different data sources, a multimodal entity semantic fusion model based on vector features and a system fusion framework based on HowNet are designed, and the environment description information such as object semantics, attributes, relations, spatial location, and context acquired by industrial robots and their own state information are unified and standardized. The automatic representation of robot perceived information is realized, and the universality, systematicness, and intuition of robot cognitive information representation are enhanced, so that the cognition reasoning ability and knowledge retrieval efficiency of robots in the industrial Internet environment can be effectively improved. (shrink)

Acquiring perceptual expertise is slow and effortful. However, untrained novices can accurately make difficult classification decisions by reformulating the task as similarity judgment. Given a query image and a set of reference images, individuals are asked to select the best matching reference. When references are suitably chosen, the procedure yields an implicit classification of the query image. To optimize reference selection, we develop and evaluate a predictive model of similarity-based choice. The model builds on existing psychological literature and accommodates stochastic, (...) dynamic shifts of attention among visual feature dimensions. We perform a series of human experiments with two stimulus types and nine classification tasks to validate the model and to demonstrate the model's potential to boost performance. Our system achieves high accuracy for participants who are naive as to the classification task, even when the classification task switches from trial to trial. (shrink)

Creating effective teamwork between humans and robots involves not only addressing their performance as a team but also sustaining the quality and sense of unity among teammates, also known as cohesion. This paper explores the research problem of: how can we endow robotic teammates with social capabilities to improve the cohesive alliance with humans? By defining the concept of a human–robot cohesive alliance in the light of the multidimensional construct of cohesion from the social sciences, we propose to (...) address this problem through the idea of multifaceted human–robot cohesion. We present our preliminary effort from previous works to examine each of the five dimensions of cohesion: social, collective, emotional, structural, and task. We finish the paper with a discussion on how human–robot cohesion contributes to the key questions and ongoing challenges of creating robotic teammates. Overall, cohesion in human–robot teams might be a key factor to propel team performance and it should be considered in the design, development, and evaluation of robotic teammates. (shrink)

The article sheds light on psychological and work science aspects of the design and utilization of service robots. An initial presentation of the characteristics of man–robot interaction is followed by a discussion of the principles of the division of functions between human beings and robots in service area work systems. The following aspects are to be considered: (1) the organisation of societal work (such as the different employment and professional profiles of service employees), (2) (...) the work tasks to be performed by humans and robots (such as handling, monitoring or decision-making tasks), (3) the possibilities and the limitations of realizing such tasks by means of information technology (depending, for example, on the motoric capabilities, perception and cognition of the robot). Consideration of these three design perspectives gives rise to criteria of usability. Current debate focuses on the (work science) principles of man–machine communication, though in future these should be supplemented with robot-specific criteria such as "motoric capabilities" or "relationship quality." The article concludes by advocating the convergence and combination of work science criteria with ideas drawn from participative design approaches in the development and utilization of service robots. (shrink)

Functional near infrared spectroscopy has been gaining increasing interest as a practical mobile functional brain imaging technology for understanding the neural correlates of social cognition and emotional processing in the human prefrontal cortex. Considering the cognitive complexity of human-robot interactions, the aim of this study was to explore the neural correlates of emotional processing of congruent and incongruent pairs of human and robot audio-visual stimuli in the human PFC with fNIRS methodology. Hemodynamic responses (...) from the PFC region of 29 subjects were recorded with fNIRS during an experimental paradigm which consisted of auditory and visual presentation of human and robot stimuli. Distinct neural responses to human and robot stimuli were detected at the dorsolateral prefrontal cortex and orbitofrontal cortex regions. Presentation of robot voice elicited significantly less hemodynamic response than presentation of human voice in a left OFC channel. Meanwhile, processing of human faces elicited significantly higher hemodynamic activity when compared to processing of robot faces in two left DLPFC channels and a left OFC channel. Significant correlation between the hemodynamic and behavioral responses for the face-voice mismatch effect was found in the left OFC. Our results highlight the potential of fNIRS for unraveling the neural processing of human and robot audio-visual stimuli, which might enable optimization of social robot designs and contribute to elucidation of the neural processing of human and robot stimuli in the PFC in naturalistic conditions. (shrink)

Robot is definitely playing important role in human society. Low contact on machine standards is mostly on industrial robot while close contacts are in increasing demand in service robot, etc. The development of robotics with advanced hardware and artificial intelligence (AI) provide the possibility with human beings while close contacts raise many new issues on ethics and risks. For interaction, the related technique of perception, cognition and interaction are briefly introduced. For ethics, rules (...) should be given for the robot designers to include ethics for certain application while risks should be evaluated during the experiment test. To make efficient decision, safety design with AI technology should be put on agenda for roboticists. Except from the risks, ethics raise many challenges while most of them can be solved by developing technologies while some of the problems exist in human’s society which also raise the questions for the human beings. More broader vision should be taken from different social departments together to avoid the possible embarrassed issues. It’s time to welcome the world of robotics and related techniques will make life more efficient while human-robot coexistence society will come one day and law should be imposed on both. (shrink)

Abstract: One approach to alignment with human values in AI and robotics is to engineer artiTicial systems isomorphic with human beings. The idea is that robots so designed may autonomously align with human values through similar developmental processes, to realize project ideal conditions through iterative interaction with social and object environments just as humans do, such as are expressed in narratives and life stories. One persistent problem with human value orientation is that different human (...) beings champion different values as ideal, meaning that the values to which an AI should be aligned are ambiguous. Prior work considered human development of purpose and source of meaning in life in terms of project ideal conditions, in effect establishing lifelong value orientations according to which intermediate situations are evaluated. The present work compares views on motivating values from St. Augustine and from popular cognitive science. These accounts are described as divergent error theories which present to their proponents as mutually exclusive yet accurate accounts of personal experience due to differential development of variable innate potentials. SpeciTically, the hypothesis proposed is that differential development of spindle neural projections establishes enduring connections between prior established relatively immediate routine processes entrained during childhood and prioritized in popular cognitive science, and later developing higher-level social and self-processes entrained during adolescence and emphasized in Augustine's account, with these projections hard-wiring lifelong motivating value orientations more or less inaccessible to modiTication through material interaction. Robot experiments informed by this study may evaluate variable value orientation by design, with for example autonomous robots developing motivating associations with temporally distal project ideal conditions through love for humanity, as described by Augustine, and others pursuing adaptive Tit to passing norms consistent with popular contemporary accounts. (shrink)

We cooperate with other people despite the risk of being exploited or hurt. If future artificial intelligence (AI) systems are benevolent and cooperative toward us, what will we do in return? Here we show that our cooperative dispositions are weaker when we interact with AI. In nine experiments, humans interacted with either another human or an AI agent in four classic social dilemma economic games and a newly designed game of Reciprocity that we introduce here. Contrary to (...) the hypothesis that people mistrust algorithms, participants trusted their AI partners to be as cooperative as humans. However, they did not return AI's benevolence as much and exploited the AI more than humans. These findings warn that future self-driving cars or co-working robots, whose success depends on humans' returning their cooperativeness, run the risk of being exploited. This vulnerability calls not just for smarter machines but also better human-centered policies. (shrink)

Among ethicists and engineers within robotics there is an ongoing discussion as to whether ethical robots are possible or even desirable. We answer both of these questions in the positive, based on an extensive literature study of existing arguments. Our contribution consists in bringing together and reinterpreting pieces of information from a variety of sources. One of the conclusions drawn is that artifactual morality must come in degrees and depend on the level of agency, autonomy and intelligence of the machine. (...) Moral concerns for agents such as intelligent search machines are relatively simple, while highly intelligent and autonomous artifacts with significant impact and complex modes of agency must be equipped with more advanced ethical capabilities. Systems like cognitive robots are being developed that are expected to become part of our everyday lives in future decades. Thus, it is necessary to ensure that their behaviour is adequate. In an analogy with artificial intelligence, which is the ability of a machine to perform activities that would require intelligence in humans, artificial morality is considered to be the ability of a machine to perform activities that would require morality in humans. The capacity for artificial (artifactual) morality, such as artifactual agency, artifactual responsibility, artificial intentions, artificial (synthetic) emotions, etc., come in varying degrees and depend on the type of agent. As an illustration, we address the assurance of safety in modern High Reliability Organizations through responsibility distribution. In the same way that the concept of agency is generalized in the case of artificial agents, the concept of moral agency, including responsibility, is generalized too. We propose to look at artificial moral agents as having functional responsibilities within a network of distributed responsibilities in a socio-technological system. This does not take away the responsibilities of the other stakeholders in the system, but facilitates an understanding and regulation of such networks. It should be pointed out that the process of development must assume an evolutionary form with a number of iterations because the emergent properties of artifacts must be tested in real world situations with agents of increasing intelligence and moral competence. We see this paper as a contribution to the macro-level Requirement Engineering through discussion and analysis of general requirements for design of ethical robots. (shrink)

People meeting a robot for the first time do not know what it is capable of and therefore how to interact with it—what actions to produce, and how to produce them. Despite social robotics’ long-standing interest in the effects of robots’ appearance and conduct on users, and efforts to identify factors likely to improve human–robot interaction, little attention has been paid to how participants evaluate their robotic partner in the unfolding of actual interactions. This paper draws (...) from qualitative analyses of video-recorded interactions between a robot and groups of participants, in the framework of ethnomethodology and conversation analysis. We analyse the particular ways in which participants shape their embodied actions, how they can reproduce a prior action that failed to obtain a response from the robot; and how they explore the robot’s embodied nature. We find a set of recurrent methods or practices, showing that robot-recipient design displays not only participants’ initial assumptions about the robot’s competences, but also more importantly perhaps their continuous assessment of the robot’s behaviour, and their attempts to adapt to it. Participants locally produce and constantly revise their understanding of the robot as a more or less competent co-participant, drawing from its past, current, and projected conduct and responsiveness. We discuss the implications of these findings for research in robotics and human–robot interactions, and the value of the approach to shed new light on old questions by paying attention to the quality of gesture and the sequential organisation of interaction. (shrink)

What constitutes our human capacity to engage and be in the same frame of mind as another human? How do we come to share a sense of what ‘looks good’ and what ‘makes sense’? How do we handle differences and come to coexist with them? How do we come to feel that we understand what someone else is experiencing? How are we able to walk in silence with someone familiar and be sharing a peaceful space? All of these (...) aspects are part of human ‘interaction’. In designing interactive technologies designers have endeavoured to explicate, analyse and simulate, our capacity for social adaptation. Their motivations are mixed and include the desires to improve efficiency, improve consumption, to connect people, to make it easier for people to work together, to improve education and learning. In these endeavours to explicate, analyse and simulate, there is a fundamental human capacity that is beyond technology and that facilitates these aspects of being, feeling and thinking with others. That capacity, we suggest, is human entrainment. This is our ability to coordinate the timing of our behaviours and rhythmically synchronise our attentional resources. Expressed within the movements of our bodies and voices, it has a quality that is akin to music. In this paper, disparate domains of research such as pragmatics, social psychology, behaviourism, cognitive science, computational linguistics, gesture, are brought together, and considered in light of the developments in interactive technology, in order to shape a conceptual framework for understanding entrainment in everyday human interaction. (shrink)

Sensory feedback, which can be presented in different modalities - single and combined, aids task performance in human-robot interaction (HRI). However, combining feedback modalities does not always lead to optimal performance. Indeed, it is not known how feedback modalities affect operator performance under stress. Furthermore, there is limited information on how feedback affects neural processes differently for males and females and under stress. This is a critical gap in the literature, particularly in the domain of surgical robotics, (...) where surgeons are under challenging socio-technical environments that burden them physiologically. In the present study, we posited operator performance as the summation of task performance and neurophysiological cost of maintaining that performance. In a within-subject design, we used functional near-infrared spectroscopy (fNIRS) to assess cerebral activations of 12 participants who underwent a 3D manipulation task within a virtual environment with concurrent feedback (visual and visual + haptic) in the presence and absence of a cognitive stressor. Cognitive stress was induced with the serial-7 subtraction test. We found that while task performance was higher with visual than visual + haptic feedback, it degraded under stress. The two feedback modalities were found to be associated with varying neural activities and neural efficiencies, and these were stress- and gender-dependent. Our findings engender further investigation into effectiveness of feedback modalities on males and females under stressful conditions in HRI. (shrink)

Many upper limb amputees experience an incessant, post-amputation “phantom limb pain” and report that their missing limbs feel paralyzed in an uncomfortable posture. One hypothesis is that efferent commands no longer generate expected afferent signals, such as proprioceptive feedback from changes in limb configuration, and that the mismatch of motor commands and visual feedback is interpreted as pain. Non-invasive therapeutic techniques for treating phantom limb pain, such as mirror visual feedback (MVF), rely on visualizations of postural changes. Advances in neural (...) interfaces for artificial sensory feedback now make it possible to combine MVF with a high-tech “rubber hand” illusion, in which subjects develop a sense of embodiment with a fake hand when subjected to congruent visual and somatosensory feedback. We discuss clinical benefits that could arise from the confluence of known concepts such as MVF and the rubber hand illusion, and new technologies such as neural interfaces for sensory feedback and highly sensorized robot hand testbeds, such as the “BairClaw” presented here. Our multi-articulating, anthropomorphic robot testbed can be used to study proprioceptive and tactile sensory stimuli during physical finger-object interactions. Conceived for artificial grasp, manipulation, and haptic exploration, the BairClaw could also be used for future studies on the neurorehabilitation of somatosensory disorders due to upper limb impairment or loss. A remote actuation system enables the modular control of tendon-driven hands. The artificial proprioception system enables direct measurement of joint angles and tendon tensions while temperature, vibration, and skin deformation are provided by a multimodal tactile sensor. The provision of multimodal sensory feedback that is spatiotemporally consistent with commanded actions could lead to benefits such as reduced phantom limb pain, and increased prosthesis use due to improved functionality and reduced cognitive burden. (shrink)

When we design information technology we risk building specific metaphors and models of human activities into the technology itself and into the embodied activities, work practices, organisational cultures and social identities of those who use it. This paper is motivated by the recognition that the assumptions about human activity used to guide the design of particular technology are made active, in use, by the interaction design of that technology. A fragment of shared design work is (...) used to ground an exploration of different solutions to one of the technical problems that arise when technology is used to support similar work over distance. The argument is made that some solutions to design problems are better than others because they enable human interaction in different ways. Some solutions enhance the possibilities for human agency, others diminish it. This means that there can be a moral basis for choosing between alternative interaction design decisions that might otherwise be considered equivalent in terms of the functionality and usability of the technology. (shrink)

This article considers current research in computer‐supported cooperative work (CSCW), computer‐mediated communication (CMC), and distributed artificial intelligence (DAl). These areas need an articulated model of social contexts to bridge the persisting gap between social and technological dimensions in computer system design and use.A conceptual model of context is presented to account for both cooperation‐conflict and communication‐negotiation processes. The model conceives of contexts as including not only physical objects and other people but also social norms which influence both individuals (...) and organizations. It assumes that computer system use occurs in social scenarios in which the features cannot be reduced to any type of input or data in the world that designers and users can process along with other information coming from the current task. The model is built on three levels: from social contexts as normative order (Level 1), to specific and intrinsically complex situations (Level 2), to person‐computer interactions for the performance of particular tasks (Level 3).The model has three main implications. First, Human‐Computer Interaction (HCl) studies—especially scenario‐based design—may profit from a fresh topdown approach to designers' and users' mental models taking into account normative social processes which have been neglected in previous research. Second, CSCW may realize how deeply discrepant perspectives affect multi‐agent environments and why in real working life negotiation is intertwined with cooperation. Designers may use this insight to design systems allowing more place for negotiation among actors. Third, we should dismiss the view that CMC lacks adequate social cues and fosters impulsive behavior. Cognitive processes such as categorization, stereotype construction, and social identification can make electronic environments even more strongly sensible to social norms than face‐to‐face communication. Context, according to our model, is not restricted to the physical copresence of other people but consists mainly of processes providing situations with socially recognizable meaning. (shrink)

In his 1923 play R.U.R.: Rossum s Universal Robots, Karel Capek coined In 1993, we began a humanoid robotics project aimed at constructing a robot for use in exploring theories of human intelligence. In this article, we describe three aspects of our research methodology that distinguish our work from other humanoid projects. First, our humanoid robots are designed to act autonomously and safely in natural workspaces with people. Second, our robots are designed to interact socially with people (...) by exploiting natural human social cues. Third, we believe that robotics offers a unique tool for testing models of human intelligence drawn from developmental psychology and cognitive science. (shrink)

Social robotics entertains a particular relationship with anthropomorphism, which it neither sees as a cognitive error, nor as a sign of immaturity. Rather it considers that this common human tendency, which is hypothesized to have evolved because it favored cooperation among early humans, can be used today to facilitate social interactions between humans and a new type of cooperative and interactive agents - social robots. This approach leads social robotics to focus research on the engineering of robots (...) that activate anthropomorphic projections in users. The objective is to give robots "social presence" and "social behaviors" that are sufficiently credible for human users to engage in comfortable and potentially long-lasting relations with these machines. This choice of ’applied anthropomorphism’ as a research methodology exposes the artifacts produced by social robotics to ethical condemnation: social robots are judged to be a "cheating" technology, as they generate in users the illusion of reciprocal social and affective relations. This article takes position in this debate, not only developing a series of arguments relevant to philosophy of mind, cognitive sciences, and robotic AI, but also asking what social robotics can teach us about anthropomorphism. On this basis, we propose a theoretical perspective that characterizes anthropomorphism as a basic mechanism of interaction, and rebuts the ethical reflections that a priori condemns "anthropomorphism-based" social robots. To address the relevant ethical issues, we promote a critical experimentally based ethical approach to social robotics, "synthetic ethics," which aims at allowing humans to use social robots for two main goals: self-knowledge and moral growth. (shrink)

The use of terms like “collaboration” and “co-workers” to describe interactions between human beings and certain artificial intelligence (AI) systems has gained significant traction in recent years. Yet, it remains an open question whether such anthropomorphic metaphors provide either a fertile or even a purely innocuous lens through which to conceptualize designed commercial products. Rather, a respect for human dignity and the principle of transparency may require us to draw a sharp distinction between real and faux peers. At (...) the heart of the concept of collaboration lies the assumption that the collaborating parties are (or behave as if they are) of similar status: two agents capable of comparable forms of intentional action, moral agency, or moral responsibility. In application to current AI systems, this not only seems to fail ontologically but also from a socio-political perspective. AI in the workplace is primarily an extension of capital, not of labor, and the AI “co-workers” of most individuals will likely be owned and operated by their employer. In this paper, we critically assess both the accuracy and desirability of using the term “collaboration” to describe interactions between humans and AI systems. We begin by proposing an alternative ontology of human–machine interaction, one which features not two equivalently autonomous agents, but rather one machine that exists in a relationship of heteronomy to one or more human agents. In this sense, while the machine may have a significant degree of independence concerning the means by which it achieves its ends, the ends themselves are always chosen by at least one human agent, whose interests may differ from those of the individuals interacting with the machine. We finally consider the motivations and risks inherent to the continued use of the term “collaboration,” exploring its strained relation to the concept of transparency, and consequences for the future of work. (shrink)

The study explores the impact of robots’ emotional displays on people’s tendency to cooperate with a robot opponent in prisoner’s dilemma games. Participants played iterated prisoner’s dilemma games with a non-expressive robot (as a measure of cooperative baseline), followed by an angry, and a sad robot, in turn. Based on the Emotion as Social Information model, we expected participants with higher cooperative predispositions to cooperate less when a robot displayed anger, and cooperate more when (...) the robot displayed sadness. Contrarily, according to this model, participants with lower cooperative predispositions should cooperate more with an angry robot and less with a sad robot. The results of 60 participants failed to support the predictions. Only the participants’ cooperative predispositions significantly predicted their cooperative tendencies during gameplay. Participants who cooperated more in the baseline measure also cooperated more with the robots displaying sadness and anger. In exploratory analyses, we found that participants who accurately recognised the robots’ sad and angry displays tended to cooperate less with them overall. The study highlights the impact of personal factors in human–robot cooperation, and how these factors might surpass the influence of bottom-up emotional displays by the robots in the present experimental scenario. (shrink)

Ethics for Robots describes and defends a method for designing and evaluating ethics algorithms for autonomous machines, such as self-driving cars and search and rescue drones. Derek Leben argues that such algorithms should be evaluated by how effectively they accomplish the problem of cooperation among self-interested organisms, and therefore, rather than simulating the psychological systems that have evolved to solve this problem, engineers should be tackling the problem itself, taking relevant lessons from our moral psychology. Leben draws on the moral (...) theory of John Rawls, arguing that normative moral theories are attempts to develop optimal solutions to the problem of cooperation. He claims that Rawlsian Contractarianism leads to the 'Maximin' principle - the action that maximizes the minimum value - and that the Maximin principle is the most effective solution to the problem of cooperation. He contrasts the Maximin principle with other principles and shows how they can often produce non-cooperative results. Using real-world examples - such as an autonomous vehicle facing a situation where every action results in harm, home care machines, and autonomous weapons systems - Leben contrasts Rawlsian algorithms with alternatives derived from utilitarianism and natural rights libertarianism. Including chapter summaries and a glossary of technical terms, Ethics for Robots is essential reading for philosophers, engineers, computer scientists, and cognitive scientists working on the problem of ethics for autonomous systems. (shrink)

Abstract“Integrative Social Robotics” (ISR) is a new approach or general method for generating social robotics applications in a responsible and “culturally sustainable” fashion. Currently social robotics is caught in a basic difficulty we call the “triple gridlock of description, evaluation, and regulation”. We briefly recapitulate this problem and then present the core ideas of ISR in the form of five principles that should guide the development of applications in social robotics. Characteristic of ISR is to intertwine a mixed method approach (...) (i.e., conducting experimental, quantitative, qualitative, and phenomenological research for the same envisaged application) with conceptual and axiological analysis as required in professional studies in applied ethics; moreover, ISR is value-drivenand abides by the “Non-Replacement Principle”:Social robots may only do what humans should but cannot do. We briefly compare ISR to other value-sensitive or value-directed design models, with a view to the task of overcoming the triple gridlock. Finally, working from an advanced classification of pluridiscplinary research, we argue that ISR establishes a research format that can turn social robotics into a new transdiscipline. (shrink)

Gaze following occurs automatically in social interactions, but the degree to which gaze is followed depends on whether an agent is perceived to have a mind, making its behavior socially more relevant for the interaction. Mind perception also modulates the attitudes we have towards others, and deter-mines the degree of empathy, prosociality and morality invested in social interactions. Seeing mind in others is not exclusive to human agents, but mind can also be ascribed to nonhuman agents like robots, (...) as long as their appearance and/or behavior allows them to be perceived as intentional beings. Previous studies have shown that human appearance and reliable behavior induce mind perception to robot agents, and positively affect attitudes and performance in human-robot interaction. What has not been investigated so far is whether different triggers of mind perception have an independent or interactive effect on attitudes and performance in human-robot interaction. We examine this question by manipulating agent appearance (human vs. robot) and behavior (reliable vs. random) within the same paradigm and examine how congruent (human/reliable vs. robot/random) versus incongruent (human/random vs. robot/reliable) combinations of these triggers affect performance (i.e., gaze fol-lowing) and attitudes (i.e., agent ratings) in human-robot interaction. The results show that both ap-pearance and behavior affect human-robot interaction but that the two triggers seem to operate in iso-lation, with appearance more strongly impacting attitudes, and behavior more strongly affecting per-formance. The implications of these findings for human-robot interaction are discussed. (shrink)

The paper adopts an inter-theoretical socio-cultural and -material perspective on the relationship between human + machine learning to propose a new way to investigate the human + machine assistive assemblages emerging in professional work (e.g. medicine, architecture, design and engineering). Its starting point is Hutchins’s (1995a) concept of ‘distributed cognition’ and his argument that his concept of ‘cultural ecosystems’ constitutes a unit of analysis to investigate collective human + machine working and learning (Hutchins, Philos Psychol 27:39–49, (...) 2013). It argues that: (i) the former offers a way to reveal the cultural constitution of and enactment of human + machine cognition and, in the process, the limitations of the computational and connectionist assumptions about learning that underpin, respectively, good old-fashioned AI and deep learning; and (2) the latter offers a way to identify, when amplified with insights from Socio-Materialism and Cultural-Historical Activity Theory, how ML is further rearranging and reorganising the distributed basis of cognition in assistive assemblages. The paper concludes by outlining a set of conjectures researchers that could use to guide their investigations into the ongoing design and deployment of HL + ML assemblages and challenges associated with the interaction between HL + ML. (shrink)

It should not be a surprise in the near future to encounter either a personal or a professional service robot in our homes and/or our work places: according to the International Federation for Robots, there will be approx 35 million service robots at work by 2018. Given that individuals will interact and even cooperate with these service robots, their design and development demand ethical attention. With this in mind I suggest the use of an approach for incorporating (...) ethics into the design process of robots known as Care Centered Value Sensitive Design. Although this approach was originally and intentionally designed for the healthcare domain, the aim of this paper is to present a preliminary study of how personal and professional service robots might also be evaluated using the CCVSD approach. The normative foundations for CCVSD come from its reliance on the care ethics tradition and in particular the use of care practices for: structuring the analysis and, determining the values of ethical import. To apply CCVSD outside of healthcare one must show that the robot has been integrated into a care practice. Accordingly, the practice into which the robot is to be used must be assessed and shown to meet the conditions of a care practice. By investigating the foundations of the approach I hope to show why it may be applicable for service robots and further to give examples of current robot prototypes that can and cannot be evaluated using CCVSD. (shrink)

Social robots are robots designed to interact with humans or with each other in ways that approximate human social interaction. It seems clear that one question relevant to the project of designing such robots concerns how humans themselves interact to achieve social understanding. If we turn to psychology, philosophy, or the cognitive sciences in general, we find two models of social cognition vying for dominance under the heading of theory of mind: theory theory and simulation theory. It (...) is therefore natural and interesting to ask how a TT design for a social robot would differ from the ST version. I think that a much more critical question is whether either TT or ST provide an adequate explanation of social cognition. There is a growing although still minority consensus that, despite their dominance in the debate about social cognition, neither TT nor ST, nor some hybrid version of these theories, offers an acceptable account of how we encounter and interact with one another. In this paper I will give a brief review of the theory of mind debate, outline an alternative theory of social cognition based on an embodied interactive approach, and then try to draw out a few implications about social robotics. (shrink)

Bringing human–robot interaction (HRI) into conversation with scholarship from human geography, this paper considers how socially interactive robots become important agents in the production of social space and explores the utility of core geographic concepts of _scale_ and _place_ to critically examine evolving robotic spatialities. The paper grounds this discussion through reflections on a collaborative, interdisciplinary research project studying the development and deployment of interactive museum tour-guiding robots on a North American university campus. The project is (...) a collaboration among geographers, roboticists, a digital artist, and the directors/curators of two museums, and involves experimentation in the development of a tour-guiding robot with a “socially aware navigation system” alongside ongoing critical reflection into the socio-spatial context of human–robot interactions and their future possibilities. The paper reflects on the tensions between logics of control and contingency in robotic spatiality and argues that concepts of scale and place can help reflect on this tension in a productive way while calling attention to a broader range of stakeholders who should be included in robotic design and deployment. (shrink)

This paper outlines the methodology and experiments associated with the reshaping of human intentions based on robot movements within Human-Robot Interactions. Although studies on estimating human intentions are well studied in the literature, reshaping intentions through robot-initiated interactions is a new significant branching in the field of HRI. In this paper, we analyze how estimated human intentions can intentionally change through cooperation with mobile robots in real Human-Robot environments. This paper proposes (...) an intention-reshaping system that includes either the Observable Operator Models or Hidden Markov Models to estimate human intention and decide which moves a robot should perform to reshape previously estimated human intentions into desired ones. At the low level, the system needs to track the locations of all mobile agents using cameras. We test our system on videos taken in a real HRI environment that has been developed as our experimental setup. The results show that OOMs are faster than HMMs and both models give correct decisions for testing sequences. (shrink)

Despite the known positive effects of acute exercise on cognition, the effects of a competitive team sport match are unknown. In a randomized crossover design, 20 female and 17 male field hockey players completed a battery of cognitive tests prior to, at half-time, and immediately following a competitive match ; with effect sizes presented as raw ES from mixed effect models. Blood samples were collected prior to and following the match and control trial, and analyzed for adrenaline, noradrenaline, brain (...) derived neurotrophic factor, cathepsin B, and cortisol. The match improved response times for a simple perception task at full-time and response times on the complex executive function task improved at half-time. Working memory declined at full-time on the match. The change in working memory was negatively correlated with increases in cortisol, as was the change in simple perception response time and the change in noradrenaline concentration. This study is the first to highlight the effects a competitive hockey match can have on cognition. These findings have implications for performance optimization, as understanding the influence on specific cognitive domains across a match allows for the investigation into strategies to improve these aspects. (shrink)

Research in social robotics is commonly focused on designing robots that imitate human behavior. While this might increase a user’s satisfaction and acceptance of robots at first glance, it does not automatically aid a non-expert user in naturally interacting with robots, and might hurt their ability to correctly anticipate a robot’s capabilities. We argue that a faulty mental model, that the user has of the robot, is one of the main sources of confusion. In this work, (...) we investigate how communicating technical concepts of robotic systems to users affect their mental models, and how this can increase the quality of human-robot interaction. We conducted an online study and investigated possible ways of improving users’ mental models. Our results underline that communicating technical concepts can form an improved mental model. Consequently, we show the importance of consciously designing robots that express their capabilities and limitations. (shrink)

Wilderness Search and Rescue is the process of finding and assisting persons who are lost in remote wilderness areas. Because such areas are often rugged or relatively inaccessible, searching for missing persons can take huge amounts of time and resources. Camera-equipped mini-Unmanned Aerial Vehicles have the potential for speeding up the search process by enabling searchers to view aerial video of an area of interest while closely coordinating with nearby ground searchers. In this paper, we report on lessons learned by (...) trying to use UAVs to support WiSAR. Our research methodology has relied heavily on field trials involving searches conducted under the direction of practicing search and rescue personnel but using simulated missing persons. Lessons from these field trials include the immediate importance of seeing things well in the video, the field need for defining and supporting various roles in the search team, role-specific needs like supporting systematic search by providing a visualization tool to represent the quality of the search, and the on-going need to better support interactions between ground and video searchers. Surprisingly to us, sophisticated autonomous search patterns were less critical than we anticipated, though advances in video enhancement and visualizing search progress, as well as ongoing work to model the likely location of a missing person, open up the possibility of closing the loop between UAV path-planning, search quality, and the likely location of a moving missing person. Keywords: Unmanned Aerial Vehicles, Wilderness Search and Rescue, Human–Robot Interaction, Human Factors, Field Robotics, Graphical User Interfaces. (shrink)

Objective We reviewed human–robot interaction (HRI) participatory design (PD) research with older adults. The goal was to identify methods used, determine their value for design of robots with older adults, and provide guidance for best practices. Background Assistive robots may promote aging-in-place and quality of life for older adults. However, the robots must be designed to meet older adults’ specific needs and preferences. PD and other user-centered methods may be used to engage older adults in the (...) class='Hi'>robot development process to accommodate their needs and preferences and to assure usability of emergent assistive robots. Method This targeted review of HRI PD studies with older adults draws on a detailed review of 26 articles. Our assessment focused on the HRI methods and their utility for use with older adults who have a range of needs and capabilities. Results Our review highlighted the importance of using mixed methods and including multiple stakeholders throughout the design process. These approaches can encourage mutual learning (to improve design by developers and to increase acceptance by users). We identified key phases used in HRI PD workshops (e.g., initial interview phase, series of focus groups phase, and presentation phase). These approaches can provide inspiration for future efforts. Conclusion HRI PD strategies can support designers in developing assistive robots that meet older adults’ needs, capabilities, and preferences to promote acceptance. More HRI research is needed to understand potential implications for aging-in-place. PD methods provide a promising approach. (shrink)

Soft robots promise an exciting design trajectory in the field of robotics and human–robot interaction (HRI), promising more adaptive, resilient movement within environments as well as a safer, more sensitive interface for the objects or agents the robot encounters. In particular, tactile HRI is a critical dimension for designers to consider, especially given the onrush of assistive and companion robots into our society. In this article, we propose to surface an important set of ethical challenges for (...) the field of soft robotics to meet. Tactile HRI strongly suggests that soft-bodied robots balance tactile engagement against emotional manipulation, model intimacy on the bonding with a tool not with a person, and deflect users from personally and socially destructive behavior the soft bodies and surfaces could normally entice. (shrink)